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Applicable: Gabrielle Wong-Parodi, Jim Leape, Anjana Richards Stanford Departments and Centers: Environmental Social Sciences Postdoc Appointment Term: 12 months renewable for an additional 2 years
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) Pathfinder project NOAH, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using
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interdisciplinary safer-chemical design are essential. Experience with machine learning, deep learning, generative AI, AI-enabled molecular design, workflow automation, Linux/ HPC environments, or collaborative
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deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).Experience developing AI applications for scientific or biomedical research, including LLM-based and agentic AI systems, is a plus.Ability to
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research will span a broad range of modelstopics, including deep learning, causal machine learning, distributed learning, unsupervised learning, foundation models, natural language processing, and
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learning, particularly with deep learning, perception models, and generative AI. • High proficiency in Python alongside experience using a deep learning framework, with a strong preference for PyTorch
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the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/postdoc-position-at-the-chair
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Postdoc position in AI and Machine Learning for Electromobility Reference number REF 2026-0337 Do you want to contribute to the future of AI-driven electric transport systems? Join our research group
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); Experience working in interdisciplinary research teams; Knowledge of the fundamentals of deep learning and experience in creating datasets for training AI models would be a valuable asset. Internal
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mathematics, computer science, and engineering. Proposals that include deep or machine learning applications of artificial intelligence are particularly encouraged. Special consideration will also be